Blockchain

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HAVE RIGOROUS ANALYSES OF YOUR BLOCKCHAIN TECHNOLOGY OR PLATFORM NOW

Free the future with science for cryptocurrencies, non-fungible token (NFT) collectibles and other blockchain technologies.

MACHINE LEARNING X DOING BLOCKCHAIN

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PAPER ACCEPTED, ADVANCED SCIENTIFIC COMPUTING RESEARCH WORKSHOP ON CYBERSECURITY AND PRIVACY FOR SCIENTIFIC COMPUTING SYSTEMS

November 3-5, 2021

Kweku Opoku-Agyemang’s paper, “Blockchain and the Scientific Method” (2021), joint with James Evans of the University of Chicago, Krishna Ratakonda of IBM, Kush R. Varshey of IBM and Lav R. Varshey of the University of Illinois at Urbana-Champaign and Brookhaven National Laboratory was accepted at the Advanced Scientific Computing Research Workshop on Cybersecurity and Privacy for Scientific Computing Ecosystems, on November 3-5, 2021.

The paper is here.

THE FUTURE OF BLOCKCHAIN IS NOW

Machine Learning X Doing Blockchain for next-generation research on decentralization technologies and applications

Machine learning and AI are powerful innovations with implications on all blockchain applications, from cryptocurrency platforms, non-fungible tokens (NFTs) and more

Machine Learning X Doing Blockchain goes beyond building structures and uses economic and behavioral science to ensure blockchain technologies have a positive impact and serve brands, organizations and policy makers. What we need to change the world is AI based on what it means to be human.

AI must help blockchain create new opportunities and realize the potential to significantly improve human productivity, relationships, standards of living and institutions.

Policy makers also require science to provide more precise guidelines.

Next-level AI can help blockchain technologists and scientists make better decisions.

The secret is out. Next-level AI

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It is up to us all to make the world a better place, starting with the impact of blockchain technologies

Introducing the next-generation of AI, designed around the fundamental question of what it means to be human

Together, we will inspire change in the world, by first introducing your organization to its true potential

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Hi.

Kweku Opoku-Agyemang, Ph.D.


Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics and a former computer science researcher at Cornell University. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.

A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning x Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential. He is based in Toronto, Canada.